Sichuan Yahua Industrial Group Co Ltd Credit Rating

BOSTON (AI Credit Rating Terminal) Fri Jul 31 2020 03:49:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below:

Rating Action Overview


We downgraded Sichuan Yahua Industrial Group Co Ltd because of a weaker market position, higher risk, or more confidence-sensitive mix of business is only partially offset by any strengths, and this leads us to expect weaker revenue stability relative to peers, thus demonstrating modest incremental risk above what is captured in the anchor. We use econometric methods for period (n+7) simulate with Psychological Line (PSY) Independent T-Test. Reference code is: 2311. Beta DRL value REG 15 Rational Demand Factor LD 4502.463. For exceptional and strong liquidity assessments, we characterize standing in the credit markets as generally high, and for adequate liquidity, we view standing in the credit markets as satisfactory. We distinguish between these descriptors based on analytical judgment and mainly consider the diversity of funding sources available to an entity. Credit Rating AI Process rely on primary sources of information: Sec Filings, Financial Statements, Credit Ratings, Semantic Signals. Take a look at Machine Learning section for Financial Deep Reinforcement Learning.Oscillators are used for generating credit risk signals by using the semantic and financial signals. The value of the oscillators indicate the strength of trend. Using the correlation matrices, the credit rating risk map for Sichuan Yahua Industrial Group Co Ltd as below:

Credit Ratings for Sichuan Yahua Industrial Group Co Ltd as of 31 Jul 2020


Credit Rating Short-Term Long-Term Senior
AI Rating Class*Ba3Ba3
Semantic Signals5460
Financial Signals9047
Risk Signals4790
Substantial Risks8460
Speculative Signals5069

*Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network and Support Vector Machines.
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